FROM FRAGMENTED SYSTEMS TO FEDERATED INTELLIGENCE
We help teams unify trade, customer, and operational data into a cohesive, governed layer ready for search, compliance, modelling, and reuse.
Banking and financial institutions operate under some of the most rigorous and evolving compliance frameworks in the world. Yet, many still rely on decades-old systems built for other goals and now strained by today’s expectations.
Datavid helps institutions move from manual reconciliation and static reporting to structured, governed platforms that power insight, compliance, and innovation.
Common obstacles:
Datavid partners with financial institutions to modernize their data infrastructure, unifying legacy silos, enabling AI and analytics, and delivering traceable systems of record. Our platforms are built for scale, speed, and strategic control.
We help teams unify trade, customer, and operational data into a cohesive, governed layer ready for search, compliance, modelling, and reuse.
Transform disconnected data sources–trades, disclosures, transactions, customer records–into connected knowledge graphs. Datavid enables full lineage, contextual search, and granular compliance reporting across silos.
Deliver clean, explainable, and metadata-rich datasets that power GenAI copilots, RAG search, and predictive models without hallucination. Datavid prepares your data to meet internal AI goals and evolving regulatory expectations.
Apply FAIR-aligned metadata to enable regulatory mapping, auditability, reuse, and interoperability. Track lineage across systems, manage taxonomies, and simplify multijurisdictional reporting and disclosures.
Migrate from brittle ETL pipelines and outdated warehouse models to flexible, semantic architectures without ripping and replacing core systems. Our approach supports phased, low-risk modernization.
Output clean, structured data for downstream tools and users–BI dashboards, investor portals, regulators, internal AI models–via APIs, SQL endpoints, or flat files in XML, JSON, or CSV.
ABN AMRO needed to streamline and validate complex trade data for audit and compliance. Traditional methods (spreadsheets, siloed systems, and manual tagging) were no longer sustainable. Datavid designed and implemented a custom knowledge graph solution, modelling ABN’s entire trade data landscape.
This enabled:
Built for GenAI and predictive modelling, Datavid supports traceable data pipelines with semantic structuring and metadata alignment.
Regulatory frameworks continue to evolve across ESG, digital assets, data protection, and operational resilience. Financial institutions can no longer afford patchwork solutions and manual reconciliation.
At the same time, the demand for real-time decision-making and explainable AI is growing. Your data foundation must be trustworthy, traceable, and built for future complexity.
Datavid helps banks modernize their compliance architecture without overhauling their entire stack.
Datavid unifies fragmented trade, customer, and operational data into governed platforms. We enrich metadata, build knowledge graphs, and create traceable pipelines that support compliance, analytics, and AI initiatives.
Yes. We design platforms with full lineage, auditability, and metadata-first governance. This makes it easier to respond to regulators, meet ESG reporting needs, and ensure transparency across jurisdictions.
With accelerators like Datavid Rover, financial institutions see pilots in 6–8 weeks. Our lean, senior-led teams reduce manual processes, eliminate spreadsheet workflows, and deliver scalable platforms without disrupting core systems.